Project - MovieLens Data Analysis

The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The data is widely used for collaborative filtering and other filtering solutions. However, we will be using this data to act as a means to demonstrate our skill in using Python to “play” with data.

Datasets Information:

  • Data.csv: It contains information of ratings given by the users to a particular movie. Columns: user id, movie id, rating, timestamp

  • item.csv: File contains information related to the movies and its genre.

  • Columns: movie id, movie title, release date, unknown, Action, Adventure, Animation, Children’s, Comedy, Crime, Documentary, Drama, Fantasy, Film-Noir, Horror, Musical, Mystery, Romance, Sci-Fi, Thriller, War, Western

  • user.csv: It contains information of the users who have rated the movies. Columns: user id, age, gender, occupation, zip code

Objective:

To implement the techniques learnt as a part of the course.

Learning Outcomes:

  • Exploratory Data Analysis

  • Visualization using Python

  • Pandas – groupby, merging

Domain

Internet and Entertainment

Note that the project will need you to apply the concepts of groupby and merging extensively.

1. Import the necessary packages - 2.5 marks

In [17]:
#Pandas Package
import pandas as pd

#Numpy Package
import numpy as np  


#Seaborn Package
import seaborn as sns   

#Visualization Packages
#MatplotLib
import matplotlib.pyplot as plt  

# Set color code,font scale..
sns.set(color_codes=True,rc={'figure.figsize':(35.0,35.0)},font_scale=1)
%matplotlib inline 

2. Read the 3 datasets into dataframes - 2.5 marks

In [18]:
#MovieRatings Data by User
MovieRatings_Data_DF =  pd.read_csv('Data.csv',index_col='movie id')
#MovieRatings Item By Gener
MovieRating_Item_DF  =  pd.read_csv('item.csv',index_col='movie id')
#MovieRating Info By User Age/Gender/Position
MovieRating_User_DF  =  pd.read_csv('user.csv',index_col='user id')

3. Apply info, shape, describe, and find the number of missing values in the data - 5 marks

  • Note that you will need to do it for all the three datasets seperately
In [19]:
#Can Check if it there is any Null Values with below way
# #MovieRatings_Data_DF.isnull().values.any()

#INFO_ABOUT MovieRatings_Data
print(MovieRatings_Data_DF.info())

#SHAPE
print(MovieRatings_Data_DF.shape)

#Describe-FIVE POINTS SUMMARY
print(MovieRatings_Data_DF.describe())


#Data.csv
print(MovieRatings_Data_DF.isnull().any())

print("Data.csv-Number Of Missing Values-->:") 

print(MovieRatings_Data_DF.isnull().sum().sum())
<class 'pandas.core.frame.DataFrame'>
Int64Index: 100000 entries, 242 to 203
Data columns (total 3 columns):
 #   Column     Non-Null Count   Dtype
---  ------     --------------   -----
 0   user id    100000 non-null  int64
 1   rating     100000 non-null  int64
 2   timestamp  100000 non-null  int64
dtypes: int64(3)
memory usage: 3.1 MB
None
(100000, 3)
            user id         rating     timestamp
count  100000.00000  100000.000000  1.000000e+05
mean      462.48475       3.529860  8.835289e+08
std       266.61442       1.125674  5.343856e+06
min         1.00000       1.000000  8.747247e+08
25%       254.00000       3.000000  8.794487e+08
50%       447.00000       4.000000  8.828269e+08
75%       682.00000       4.000000  8.882600e+08
max       943.00000       5.000000  8.932866e+08
user id      False
rating       False
timestamp    False
dtype: bool
Data.csv-Number Of Missing Values-->:
0
In [20]:
#Can Check if it there is any Null Values with below way
# #MovieRatings_Item.isnull().values.any()

#INFO_ABOUT MovieRatings_Data
print(MovieRating_Item_DF.info())

#SHAPE
print(MovieRating_Item_DF.shape)

#Describe-FIVE POINTS SUMMARY
print(MovieRating_Item_DF.describe())


#Data.csv
print(MovieRating_Item_DF.isnull().any())

print("Item.csv-Number of Missing Values-->:") 
print(MovieRating_Item_DF.isnull().sum().sum())
<class 'pandas.core.frame.DataFrame'>
Int64Index: 1681 entries, 1 to 1682
Data columns (total 21 columns):
 #   Column        Non-Null Count  Dtype 
---  ------        --------------  ----- 
 0   movie title   1681 non-null   object
 1   release date  1681 non-null   object
 2   unknown       1681 non-null   int64 
 3   Action        1681 non-null   int64 
 4   Adventure     1681 non-null   int64 
 5   Animation     1681 non-null   int64 
 6   Childrens     1681 non-null   int64 
 7   Comedy        1681 non-null   int64 
 8   Crime         1681 non-null   int64 
 9   Documentary   1681 non-null   int64 
 10  Drama         1681 non-null   int64 
 11  Fantasy       1681 non-null   int64 
 12  Film-Noir     1681 non-null   int64 
 13  Horror        1681 non-null   int64 
 14  Musical       1681 non-null   int64 
 15  Mystery       1681 non-null   int64 
 16  Romance       1681 non-null   int64 
 17  Sci-Fi        1681 non-null   int64 
 18  Thriller      1681 non-null   int64 
 19  War           1681 non-null   int64 
 20  Western       1681 non-null   int64 
dtypes: int64(19), object(2)
memory usage: 288.9+ KB
None
(1681, 21)
           unknown       Action    Adventure    Animation    Childrens  \
count  1681.000000  1681.000000  1681.000000  1681.000000  1681.000000   
mean      0.000595     0.149316     0.080309     0.024985     0.072576   
std       0.024390     0.356506     0.271852     0.156126     0.259516   
min       0.000000     0.000000     0.000000     0.000000     0.000000   
25%       0.000000     0.000000     0.000000     0.000000     0.000000   
50%       0.000000     0.000000     0.000000     0.000000     0.000000   
75%       0.000000     0.000000     0.000000     0.000000     0.000000   
max       1.000000     1.000000     1.000000     1.000000     1.000000   

            Comedy        Crime  Documentary        Drama      Fantasy  \
count  1681.000000  1681.000000  1681.000000  1681.000000  1681.000000   
mean      0.300416     0.064842     0.029744     0.431291     0.013087   
std       0.458576     0.246321     0.169931     0.495404     0.113683   
min       0.000000     0.000000     0.000000     0.000000     0.000000   
25%       0.000000     0.000000     0.000000     0.000000     0.000000   
50%       0.000000     0.000000     0.000000     0.000000     0.000000   
75%       1.000000     0.000000     0.000000     1.000000     0.000000   
max       1.000000     1.000000     1.000000     1.000000     1.000000   

         Film-Noir       Horror      Musical      Mystery      Romance  \
count  1681.000000  1681.000000  1681.000000  1681.000000  1681.000000   
mean      0.014277     0.054729     0.033314     0.036288     0.146936   
std       0.118667     0.227519     0.179507     0.187061     0.354148   
min       0.000000     0.000000     0.000000     0.000000     0.000000   
25%       0.000000     0.000000     0.000000     0.000000     0.000000   
50%       0.000000     0.000000     0.000000     0.000000     0.000000   
75%       0.000000     0.000000     0.000000     0.000000     0.000000   
max       1.000000     1.000000     1.000000     1.000000     1.000000   

            Sci-Fi     Thriller          War      Western  
count  1681.000000  1681.000000  1681.000000  1681.000000  
mean      0.060083     0.149316     0.042237     0.016062  
std       0.237712     0.356506     0.201189     0.125751  
min       0.000000     0.000000     0.000000     0.000000  
25%       0.000000     0.000000     0.000000     0.000000  
50%       0.000000     0.000000     0.000000     0.000000  
75%       0.000000     0.000000     0.000000     0.000000  
max       1.000000     1.000000     1.000000     1.000000  
movie title     False
release date    False
unknown         False
Action          False
Adventure       False
Animation       False
Childrens       False
Comedy          False
Crime           False
Documentary     False
Drama           False
Fantasy         False
Film-Noir       False
Horror          False
Musical         False
Mystery         False
Romance         False
Sci-Fi          False
Thriller        False
War             False
Western         False
dtype: bool
Item.csv-Number of Missing Values-->:
0
In [21]:
#Can Check if it there is any Null Values with below way
# #MovieRating_User_DF.isnull().values.any()

#INFO_ABOUT MovieRatings_Data
print(MovieRating_User_DF.info())

#SHAPE
print(MovieRating_User_DF.shape)

#Describe-FIVE POINTS SUMMARY
print(MovieRating_User_DF.describe())


#Data.csv
print(MovieRating_User_DF.isnull().any())

print("User.csv-Null Values Count-->:") 
print(MovieRating_User_DF.isnull().sum().sum())
<class 'pandas.core.frame.DataFrame'>
Int64Index: 943 entries, 1 to 943
Data columns (total 4 columns):
 #   Column      Non-Null Count  Dtype 
---  ------      --------------  ----- 
 0   age         943 non-null    int64 
 1   gender      943 non-null    object
 2   occupation  943 non-null    object
 3   zip code    943 non-null    object
dtypes: int64(1), object(3)
memory usage: 36.8+ KB
None
(943, 4)
              age
count  943.000000
mean    34.051962
std     12.192740
min      7.000000
25%     25.000000
50%     31.000000
75%     43.000000
max     73.000000
age           False
gender        False
occupation    False
zip code      False
dtype: bool
User.csv-Null Values Count-->:
0

4. Find the number of movies per genre using the item data - 2.5 marks

In [22]:
# use sum on the default axis

#numeric_only = True==>Get Count only Columns with Integer Values

#SORT Genre By Total Number of Movies
MovieRating_Item_DF.sum(numeric_only = True).reset_index(name ='Number Of Movies Per Genre').sort_values(by='Number Of Movies Per Genre')

# Applying Styles for Count Column
cm = sns.light_palette("green", as_cmap=True)

MovieRating_Item_DF.sum(numeric_only = True).reset_index(name ='Number Of Movies Per Genre').sort_values(by='Number Of Movies Per Genre').style.background_gradient(cmap=cm)
Out[22]:
index Number Of Movies Per Genre
0 unknown 1
9 Fantasy 22
10 Film-Noir 24
18 Western 27
3 Animation 42
7 Documentary 50
12 Musical 56
13 Mystery 61
17 War 71
11 Horror 92
15 Sci-Fi 101
6 Crime 109
4 Childrens 122
2 Adventure 135
14 Romance 247
1 Action 251
16 Thriller 251
5 Comedy 505
8 Drama 725

5. Find the movies that have more than one genre - 5 marks

In [23]:
#hint: use sum on the axis = 1

#STEP-1 :CLONE CURRENT ITEM FRAME INTO NEW FRAME
MovieRating_Item_Genre_DF=MovieRating_Item_DF.copy()

#STEP-2 : GET SUM BY USING AXIS=1 AND STORE VALUES IN NEW COLUMN NAME "Total Types of Genre"
MovieRating_Item_Genre_DF.loc[:,'Total Types of Genre'] = MovieRating_Item_Genre_DF.sum(axis=1)

#STEP-3

#WE CAN DO BY USING iloc
MovieRating_Item_DF[MovieRating_Item_DF.iloc[:, 3:].sum(1)>1]['movie title']

# OR GET MOVIES INFO BASED ON Total Type Count >1
cm = sns.light_palette("green", as_cmap=True)
Movies_MorethanOneGenre_DF=MovieRating_Item_Genre_DF[MovieRating_Item_Genre_DF['Total Types of Genre'] > 1]
Movies_MorethanOneGenre_DF.sort_values(by='Total Types of Genre').style.background_gradient(cmap=cm)
Out[23]:
movie title release date unknown Action Adventure Animation Childrens Comedy Crime Documentary Drama Fantasy Film-Noir Horror Musical Mystery Romance Sci-Fi Thriller War Western Total Types of Genre
movie id
1680 Sliding Doors 01-Jan-1998 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1161 Palookaville 25-Oct-1996 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
625 Sword in the Stone, The 01-Jan-1963 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
626 So Dear to My Heart 01-Jan-1949 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
628 Sleepers 18-Oct-1996 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
629 Victor/Victoria 01-Jan-1982 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2
630 Great Race, The 01-Jan-1965 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2
623 Angels in the Outfield 01-Jan-1994 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1160 Love! Valour! Compassion! 16-May-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
637 Howling, The 01-Jan-1981 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
641 Paths of Glory 01-Jan-1957 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
1156 Cyclo 02-Aug-1996 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
643 The Innocent 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
647 Ran 01-Jan-1985 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
648 Quiet Man, The 01-Jan-1952 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1159 Stalker 01-Jan-1979 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 2
622 Swiss Family Robinson 01-Jan-1960 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
619 Extreme Measures 27-Sep-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
616 Night of the Living Dead 01-Jan-1968 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 2
587 Hour of the Pig, The 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 2
1176 Welcome To Sarajevo 01-Jan-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
1174 Caught 27-Sep-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
591 Primal Fear 30-Mar-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
592 True Crime 01-Jan-1995 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
594 Heavy 05-Jun-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1173 Bliss 06-Jun-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
597 Eraser 21-Jun-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
598 Big Squeeze, The 06-Sep-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
601 For Whom the Bell Tolls 01-Jan-1943 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2
602 American in Paris, An 01-Jan-1951 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 2
603 Rear Window 01-Jan-1954 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
607 Rebecca 01-Jan-1940 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 2
1170 Spanking the Monkey 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1165 Big Bully 01-Jan-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1155 Rendezvous in Paris (Rendez-vous de Paris, Les) 28-Jun-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
584 Secret Garden, The 01-Jan-1993 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1153 Backbeat 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 2
1152 In Love and War 24-Jan-1997 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 2
695 Kicking and Screaming 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
696 City Hall 16-Feb-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
702 Barcelona 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
704 House of the Spirits, The 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
705 Singin' in the Rain 01-Jan-1952 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 2
709 Strictly Ballroom 01-Jan-1992 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1126 Old Man and the Sea, The 01-Jan-1958 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
712 Tin Men 01-Jan-1987 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
715 To Die For 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
716 Home for the Holidays 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
717 Juror, The 01-Jan-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
719 Canadian Bacon 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 2
1124 Farewell to Arms, A 01-Jan-1932 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 2
723 Boys on the Side 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
714 Carrington 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
690 Seven Years in Tibet 01-Jan-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
689 Jackal, The 01-Jan-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
687 McHale's Navy 18-Apr-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 2
1143 Hard Eight 28-Feb-1997 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
1137 Beautiful Thing 09-Oct-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
657 Manchurian Candidate, The 01-Jan-1962 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 2
1135 Doors, The 01-Jan-1991 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 2
662 Somewhere in Time 01-Jan-1980 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
668 Blood Beach 01-Jan-1981 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2
1679 B. Monkey 06-Feb-1998 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 2
673 Cape Fear 01-Jan-1962 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 2
678 Volcano 25-Apr-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
679 Conan the Barbarian 01-Jan-1981 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
680 Kull the Conqueror 29-Aug-1997 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1132 Feeling Minnesota 13-Sep-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
684 In the Line of Fire 01-Jan-1993 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
685 Executive Decision 09-Mar-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
686 Perfect World, A 01-Jan-1993 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
652 Rosencrantz and Guildenstern Are Dead 01-Jan-1990 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
724 Circle of Friends 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
583 Romeo Is Bleeding 01-Jan-1993 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
581 Kalifornia 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
495 Around the World in 80 Days 01-Jan-1956 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
500 Fly Away Home 13-Sep-1996 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1211 Blue Sky 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
502 Bananas 01-Jan-1971 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 2
504 Bonnie and Clyde 01-Jan-1967 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
505 Dial M for Murder 01-Jan-1954 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
491 Adventures of Robin Hood, The 01-Jan-1938 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1210 Virtuosity 01-Jan-1995 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2
513 Third Man, The 01-Jan-1949 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
514 Annie Hall 01-Jan-1977 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
520 Great Escape, The 01-Jan-1963 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2
521 Deer Hunter, The 01-Jan-1978 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
522 Down by Law 01-Jan-1986 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
523 Cool Hand Luke 01-Jan-1967 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
511 Lawrence of Arabia 01-Jan-1962 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2
1215 Barb Wire 03-May-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2
487 Roman Holiday 01-Jan-1953 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
486 Sabrina 01-Jan-1954 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
462 Like Water For Chocolate (Como agua para chocolate) 01-Jan-1992 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1237 Twisted 01-Jan-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
471 Courage Under Fire 08-Mar-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
1231 Marked for Death 01-Jan-1990 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1229 Poison Ivy II 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
1015 Shiloh 23-May-1997 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
477 Matilda 02-Aug-1996 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
478 Philadelphia Story, The 01-Jan-1940 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
479 Vertigo 01-Jan-1958 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
480 North by Northwest 01-Jan-1959 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 2
481 Apartment, The 01-Jan-1960 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
482 Some Like It Hot 01-Jan-1959 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 2
1226 Night Falls on Manhattan 16-May-1997 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
484 Maltese Falcon, The 01-Jan-1941 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 2
485 My Fair Lady 01-Jan-1964 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 2
525 Big Sleep, The 01-Jan-1946 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 2
582 Piano, The 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1200 Kim 01-Jan-1950 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
531 Shine 22-Nov-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
564 Tales from the Hood 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
565 Village of the Damned 01-Jan-1995 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
1186 Inkwell, The 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1185 In the Army Now 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 2
569 Wolf 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 2
571 Another Stakeout 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 2
561 Mary Shelley's Frankenstein 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 2
572 Blown Away 01-Jan-1994 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1181 Low Down Dirty Shame, A 01-Jan-1994 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
575 City Slickers II: The Legend of Curly's Gold 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 2
1180 I Love Trouble 01-Jan-1994 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
577 Coneheads 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 2
578 Demolition Man 01-Jan-1993 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2
580 Englishman Who Went Up a Hill, But Came Down a Mountain, The 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1183 Cowboy Way, The 01-Jan-1994 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1190 That Old Feeling 04-Apr-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
559 Interview with the Vampire 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 2
1191 Letter From Death Row, A 01-Feb-1998 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
535 Addicted to Love 23-May-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1199 Cemetery Man (Dellamorte Dellamore) 12-Apr-1996 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
539 Mouse Hunt 01-Jan-1997 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
541 Mortal Kombat 01-Jan-1995 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1198 Purple Noon 28-Jun-1960 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
543 Misérables, Les 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 2
1197 Family Thing, A 23-Mar-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
545 Vampire in Brooklyn 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
546 Broken Arrow 09-Feb-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
548 NeverEnding Story III, The 02-Feb-1996 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2
1194 Once Were Warriors 01-Jan-1994 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
550 Die Hard: With a Vengeance 01-Jan-1995 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
553 Walk in the Clouds, A 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
554 Waterworld 01-Jan-1995 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
557 Farinelli: il castrato 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 2
528 Killing Fields, The 01-Jan-1984 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
456 Beverly Hills Ninja 17-Jan-1997 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
726 Fluke 01-Jan-1995 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
728 Junior 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 2
904 Ma vie en rose (My Life in Pink) 26-Dec-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
905 Great Expectations 01-Jan-1998 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
906 Oscar & Lucinda 31-Dec-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
911 Twilight 30-Jan-1998 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
912 U.S. Marshalls 10-Mar-1998 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1044 Paper, The 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
903 Afterglow 26-Dec-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1042 Just Cause 01-Jan-1995 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
919 City of Lost Children, The 01-Jan-1995 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2
921 Farewell My Concubine 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
924 White Squall 01-Jan-1996 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
925 Unforgettable 23-Feb-1996 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2
928 Craft, The 26-Apr-1996 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 2
929 Harriet the Spy 03-Jul-1996 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1041 Forget Paris 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1048 She's the One 23-Aug-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1050 Ghost and Mrs. Muir, The 01-Jan-1947 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
895 Scream 2 01-Jan-1997 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
1061 Evening Star, The 25-Dec-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
866 Michael 25-Dec-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
869 Fools Rush In 14-Feb-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
873 Picture Perfect 01-Aug-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
875 She's So Lovely 22-Aug-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
876 Money Talks 22-Aug-1997 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
877 Excess Baggage 01-Jan-1997 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1060 Adventures of Pinocchio, The 26-Jul-1996 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1058 War, The 01-Jan-1994 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
881 Money Talks 22-Aug-1997 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
886 Life Less Ordinary, A 01-Jan-1997 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 2
890 Mortal Kombat: Annihilation 01-Jan-1997 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
891 Bent 18-Dec-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
1052 Dracula: Dead and Loving It 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
894 Home Alone 3 01-Jan-1997 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1040 Two if by Sea 01-Jan-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
860 Believers, The 01-Jan-1987 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
931 Island of Dr. Moreau, The 23-Aug-1996 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2
935 Paradise Road 18-Apr-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
978 Heaven's Prisoners 10-May-1996 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
979 Trigger Effect, The 30-Aug-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
1031 Lassie 01-Jan-1994 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
988 Beautician and the Beast, The 07-Feb-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1028 Grumpier Old Men 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
990 Anna Karenina 04-Apr-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1032 Little Big League 01-Jan-1994 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
992 Head Above Water 20-Jun-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 2
996 Big Green, The 01-Jan-1995 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1000 Lightning Jack 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 2
1004 Geronimo: An American Legend 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 2
1006 Until the End of the World (Bis ans Ende der Welt) 01-Jan-1991 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 2
1012 Private Parts 07-Mar-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1020 Gaslight 01-Jan-1944 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
1026 Lay of the Land, The 01-Jan-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
974 Eye for an Eye 01-Jan-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
971 Mediterraneo 01-Jan-1991 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 2
969 Winnie the Pooh and the Blustery Day 01-Jan-1968 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
938 Smile Like Yours, A 01-Jan-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
939 Murder in the First 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
941 With Honors 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1036 Drop Dead Fred 01-Jan-1991 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 2
1034 Quest, The 26-Apr-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
946 Fox and the Hound, The 01-Jan-1981 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
947 Big Blue, The (Grand bleu, Le) 01-Jan-1988 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2
948 Booty Call 28-Feb-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
949 How to Make an American Quilt 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1033 Homeward Bound II: Lost in San Francisco 08-Mar-1996 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
953 Unstrung Heroes 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
955 Before Sunrise 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
963 Some Folks Call It a Sling Blade 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
964 Month by the Lake, A 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
965 Funny Face 01-Jan-1957 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2
932 First Kid 30-Aug-1996 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
727 Immortal Beloved 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
859 April Fool's Day 01-Jan-1986 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
1063 Little Princess, A 01-Jan-1995 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
758 Lawnmower Man 2: Beyond Cyberspace 01-Jan-1996 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2
761 Nick of Time 01-Jan-1995 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
764 If Lucy Fell 08-Mar-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
765 Boomerang 01-Jan-1992 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
768 Casper 01-Jan-1995 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1109 Death and the Maiden 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
754 Red Corner 01-Jan-1997 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
1106 Newton Boys, The 14-Mar-1998 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
781 French Kiss 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
783 Milk Money 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
784 Beyond Bedlam 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 2
785 Only You 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
786 Perez Family, The 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
787 Roommates 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1103 Trust 01-Jan-1990 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
752 Replacement Killers, The 06-Feb-1998 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1119 Some Kind of Wonderful 01-Jan-1987 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
749 MatchMaker, The 01-Jan-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
730 Queen Margot (Reine Margot, La) 01-Jan-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1122 They Made Me a Criminal 01-Jan-1939 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
732 Dave 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
733 Go Fish 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
736 Shadowlands 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
737 Sirens 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
738 Threesome 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
739 Pretty Woman 01-Jan-1990 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
740 Jane Eyre 05-Apr-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
741 Last Supper, The 05-Apr-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
742 Ransom 08-Nov-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
743 Crow: City of Angels, The 30-Aug-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
744 Michael Collins 11-Oct-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
747 Benny & Joon 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1121 Umbrellas of Cherbourg, The (Parapluies de Cherbourg, Les) 05-Apr-1996 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 2
788 Relative Fear 01-Jan-1994 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
856 Night on Earth 01-Jan-1991 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
789 Swimming with Sharks 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
795 Richie Rich 01-Jan-1994 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1066 Balto 01-Jan-1995 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
836 Ninotchka 01-Jan-1939 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
839 Loch Ness 01-Jan-1995 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
1065 Koyaanisqatsi 01-Jan-1983 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 2
841 Glimmer Man, The 04-Oct-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1064 Crossfire 01-Jan-1947 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 2
834 Halloween: The Curse of Michael Myers 01-Jan-1995 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
843 Shaggy Dog, The 01-Jan-1959 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
847 Looking for Richard 11-Oct-1996 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 2
848 Murder, My Sweet 01-Jan-1944 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 2
849 Days of Thunder 01-Jan-1990 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2
852 Bloody Child, The 26-Oct-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
853 Braindead 01-Jan-1992 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
854 Bad Taste 01-Jan-1987 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
846 To Gillian on Her 37th Birthday 18-Oct-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1072 Pyromaniac's Love Story, A 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1074 Reality Bites 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
829 Fled 19-Jul-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
796 Speechless 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
797 Timecop 01-Jan-1994 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2
800 In the Mouth of Madness 01-Jan-1995 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
1102 Two Much 01-Jan-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1101 Six Degrees of Separation 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 2
805 Manhattan Murder Mystery 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2
808 Program, The 01-Jan-1993 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
812 Andre 01-Jan-1994 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
815 One Fine Day 30-Nov-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1085 Carried Away 29-Mar-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
821 Mrs. Winterbourne 19-Apr-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1083 Albino Alligator 17-Jan-1997 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
1079 Joe's Apartment 26-Jul-1996 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2
1078 Oliver & Company 29-Mar-1988 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
828 Alaska 21-Aug-1996 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
794 It Could Happen to You 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
453 Jaws 3-D 01-Jan-1983 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2
474 Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb 01-Jan-1963 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 2
1240 Ghost in the Shell (Kokaku kidotai) 12-Apr-1996 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2
1505 Killer: A Journal of Murder 06-Sep-1996 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
152 Sleeper 01-Jan-1973 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 2
155 Dirty Dancing 01-Jan-1987 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 2
156 Reservoir Dogs 01-Jan-1992 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
157 Platoon 01-Jan-1986 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
159 Basic Instinct 01-Jan-1992 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
150 Swingers 18-Oct-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
161 Top Gun 01-Jan-1986 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2
169 Wrong Trousers, The 01-Jan-1993 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1502 Naked in New York 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
171 Delicatessen 01-Jan-1991 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 2
1496 Carpool 23-Aug-1996 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 2
174 Raiders of the Lost Ark 01-Jan-1981 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1487 Even Cowgirls Get the Blues 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1503 Gold Diggers: The Secret of Bear Mountain 01-Jan-1995 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
177 Good, The Bad and The Ugly, The 01-Jan-1966 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2
148 Ghost and the Darkness, The 11-Oct-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1508 Babysitter, The 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
124 Lone Star 21-Jun-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 2
125 Phenomenon 29-Jun-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1531 Far From Home: The Adventures of Yellow Dog 01-Jan-1995 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
128 Supercop 26-Jul-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
131 Breakfast at Tiffany's 01-Jan-1961 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1525 Object of My Affection, The 20-Mar-1998 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
147 Long Kiss Goodnight, The 05-Oct-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1523 Good Man in Africa, A 01-Jan-1994 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
138 D3: The Mighty Ducks 04-Oct-1996 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
139 Love Bug, The 01-Jan-1969 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
140 Homeward Bound: The Incredible Journey 01-Jan-1993 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1519 New Jersey Drive 01-Jan-1995 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
1515 Wings of Courage 01-Jan-1995 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2
144 Die Hard 01-Jan-1988 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1521 Mr. Wonderful 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
123 Frighteners, The 19-Jul-1996 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
180 Apocalypse Now 01-Jan-1979 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
1484 Jerky Boys, The 01-Jan-1994 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
211 M*A*S*H 01-Jan-1970 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 2
213 Room with a View, A 01-Jan-1986 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1465 Last Summer in the Hamptons 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
216 When Harry Met Sally... 01-Jan-1989 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
217 Bram Stoker's Dracula 01-Jan-1992 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 2
452 Jaws 2 01-Jan-1978 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2
210 Indiana Jones and the Last Crusade 01-Jan-1989 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
223 Sling Blade 22-Nov-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
226 Die Hard 2 01-Jan-1990 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1460 Sleepover 25-Oct-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1457 Love Is All There Is 11-Oct-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1456 Beat the Devil 01-Jan-1954 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1453 Angel on My Shoulder 01-Jan-1946 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
1452 Lady of Burlesque 01-Jan-1943 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2
225 101 Dalmatians 27-Nov-1996 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
182 GoodFellas 01-Jan-1990 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
1469 Tom and Huck 01-Jan-1995 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1470 Gumby: The Movie 01-Jan-1995 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1477 Nightwatch 22-Apr-1997 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
1475 Bhaji on the Beach 01-Jan-1993 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
189 Grand Day Out, A 01-Jan-1992 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
190 Henry V 01-Jan-1989 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
191 Amadeus 01-Jan-1984 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 2
194 Sting, The 01-Jan-1973 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 2
208 Young Frankenstein 01-Jan-1974 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
1474 Nina Takes a Lover 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
199 Bridge on the River Kwai, The 01-Jan-1957 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
1473 Little Princess, The 01-Jan-1939 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
202 Groundhog Day 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
204 Back to the Future 01-Jan-1985 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 2
205 Patton 01-Jan-1970 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
1472 Visitors, The (Visiteurs, Les) 19-Jul-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 2
197 Graduate, The 01-Jan-1967 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1534 Twin Town 30-May-1997 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 2
120 Striptease 28-Jun-1996 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 2
1540 Amazing Panda Adventure, The 01-Jan-1995 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
34 Doom Generation, The 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1638 Normal Life 25-Oct-1996 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
36 Mad Love 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
38 Net, The 01-Jan-1995 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2
1633 Á köldum klaka (Cold Fever) 08-Mar-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
43 Disclosure 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
1646 Men With Guns 06-Mar-1998 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
44 Dolores Claiborne 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
47 Ed Wood 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
49 I.Q. 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1631 Slingshot, The 01-Jan-1993 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1627 Wife, The 26-Jul-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
53 Natural Born Killers 01-Jan-1994 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1626 Nobody Loves Me (Keiner liebt mich) 09-Feb-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
45 Eat Drink Man Woman 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1625 Nightwatch 22-Apr-1997 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
1649 Big One, The 27-Mar-1998 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 2
1655 Favor, The 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1673 Mirage 01-Jan-1995 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1670 Tainted 01-Feb-1998 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 2
7 Twelve Monkeys 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 2
1663 Nothing Personal 30-Apr-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
10 Richard III 22-Jan-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
11 Seven (Se7en) 01-Jan-1995 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
1651 Spanish Prisoner, The 27-Mar-1998 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
12 Usual Suspects, The 14-Aug-1995 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
16 French Twist (Gazon maudit) 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1662 Rough Magic 30-May-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
20 Angels and Insects 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1657 Target 28-Feb-1996 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1656 Little City 20-Feb-1998 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
23 Taxi Driver 16-Feb-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
14 Postino, Il 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
56 Pulp Fiction 01-Jan-1994 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
1618 King of New York 01-Jan-1990 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2
63 Santa Clause, The 01-Jan-1994 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
94 Home Alone 01-Jan-1990 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1568 Vermont Is For Lovers 01-Jan-1992 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1561 Tigrero: A Film That Was Never Made 01-Jan-1994 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 2
98 Silence of the Lambs, The 01-Jan-1991 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
1557 Yankee Zulu 16-Feb-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1555 Secret Adventures of Tom Thumb, The 01-Jan-1993 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
93 Welcome to the Dollhouse 24-May-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
102 Aristocats, The 01-Jan-1970 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
106 Diabolique 01-Jan-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
109 Mystery Science Theater 3000: The Movie 19-Apr-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 2
1548 The Courtyard 01-Jan-1995 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
111 Truth About Cats & Dogs, The 26-Apr-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
112 Flipper 10-May-1996 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1545 Frankie Starlight 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1553 Underneath, The 01-Jan-1995 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
1569 Vie est belle, La (Life is Rosey) 01-Jan-1987 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1588 Salut cousin! 21-Feb-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
89 Blade Runner 01-Jan-1982 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 2
65 What's Eating Gilbert Grape 01-Jan-1993 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
66 While You Were Sleeping 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1614 Reluctant Debutante, The 01-Jan-1958 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1613 Tokyo Fist 11-Feb-1998 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
70 Four Weddings and a Funeral 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1598 City of Industry 14-Mar-1997 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
76 Carlito's Way 01-Jan-1993 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
77 Firm, The 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
1597 Romper Stomper 01-Jan-1992 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
79 Fugitive, The 01-Jan-1993 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
81 Hudsucker Proxy, The 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1595 Shopping 09-Feb-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
83 Much Ado About Nothing 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
84 Robert A. Heinlein's The Puppet Masters 01-Jan-1994 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 2
88 Sleepless in Seattle 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
234 Jaws 01-Jan-1975 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2
1450 Golden Earrings 01-Jan-1947 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2
220 Mirror Has Two Faces, The 15-Nov-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
237 Jerry Maguire 13-Dec-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
349 Hard Rain 16-Jan-1998 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1333 Midnight Dancers (Sibak) 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
352 Spice World 01-Jan-1997 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2
1324 Loaded 12-Apr-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
354 Wedding Singer, The 13-Feb-1998 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1315 Inventing the Abbotts 04-Apr-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
347 Wag the Dog 09-Jan-1998 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
361 Incognito 01-Jan-1997 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
370 Mary Reilly 23-Feb-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
371 Bridges of Madison County, The 09-Feb-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1311 Waiting to Exhale 15-Jan-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
374 Mighty Morphin Power Rangers: The Movie 01-Jan-1995 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
377 Heavyweights 01-Jan-1994 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1308 Babyfever 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1312 Pompatus of Love, The 26-Jul-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
381 Muriel's Wedding 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
346 Jackie Brown 01-Jan-1997 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
1339 Stefano Quantestorie 01-Jan-1993 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
323 Dante's Peak 07-Feb-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
325 Crash 21-Mar-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
1383 Second Jungle Book: Mowgli & Baloo, The 16-May-1997 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1377 Hotel de Love 07-Feb-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1371 Machine, The 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2
1370 I Can't Sleep (J'ai pas sommeil) 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
345 Deconstructing Harry 01-Jan-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
331 Edge, The 26-Sep-1997 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
236 Citizen Ruth 13-Dec-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1365 Johnny 100 Pesos 01-Jan-1993 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
336 Playing God 01-Jan-1997 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2
1357 For the Moment 01-Jan-1994 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 2
339 Mad City 01-Jan-1997 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
342 Man Who Knew Too Little, The 01-Jan-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2
1366 JLG/JLG - autoportrait de décembre 01-Jan-1994 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 2
382 Adventures of Priscilla, Queen of the Desert, The 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
383 Flintstones, The 01-Jan-1994 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1304 New York Cop 01-Jan-1996 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2
1278 Selena 21-Mar-1997 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 2
1277 Set It Off 25-Sep-1996 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2
421 William Shakespeare's Romeo and Juliet 25-Oct-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1274 Robocop 3 01-Jan-1993 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2
1273 Color of Night 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
1272 Talking About Sex 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1279 Wild America 04-Jul-1997 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
429 Day the Earth Stood Still, The 01-Jan-1951 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 2
431 Highlander 01-Jan-1986 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1269 Love in the Afternoon 01-Jan-1957 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1259 Pie in the Sky 09-Feb-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
444 Blob, The 01-Jan-1958 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 2
1258 Trial and Error 30-May-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1241 Van, The 27-Jun-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
430 Duck Soup 01-Jan-1933 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 2
417 Parent Trap, The 01-Jan-1961 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
416 Old Yeller 01-Jan-1957 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1284 Before and After 23-Feb-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 2
388 Beverly Hills Cop III 01-Jan-1994 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
389 Black Beauty 01-Jan-1994 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
391 Last Action Hero 01-Jan-1993 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1300 'Til There Was You 30-May-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1299 Penny Serenade 01-Jan-1941 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1298 Band Wagon, The 01-Jan-1953 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2
1297 Love Affair 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
400 Little Rascals, The 01-Jan-1994 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1296 Indian Summer 01-Jan-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
1295 Kicked in the Head 01-Jan-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
404 Pinocchio 01-Jan-1940 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1292 Simple Wish, A 11-Jul-1997 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2
406 Thinner 25-Oct-1996 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
1290 Country Life 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
409 Jack 07-Aug-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
322 Murder at 1600 18-Apr-1997 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
1385 Roseanna's Grave (For Roseanna) 20-Jun-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
333 Game, The 01-Jan-1997 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
316 As Good As It Gets 23-Dec-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
278 Bed of Roses 01-Jan-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
276 Leaving Las Vegas 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
275 Sense and Sensibility 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
318 Schindler's List 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
274 Sabrina 01-Jan-1995 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1419 Highlander III: The Sorcerer 01-Jan-1994 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2
1422 Suture 01-Jan-1993 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 2
1423 Walking Dead, The 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 2
268 Chasing Amy 01-Jan-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
266 Kull the Conqueror 29-Aug-1997 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
265 Hunt for Red October, The 01-Jan-1990 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
264 Mimic 22-Aug-1997 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2
261 Air Bud 01-Aug-1997 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
259 George of the Jungle 01-Jan-1997 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
280 Up Close and Personal 01-Mar-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
258 Contact 11-Jul-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 2
256 When the Cats Away (Chacun cherche son chat) 20-Jun-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
255 My Best Friend's Wedding 20-Jun-1997 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
1426 Grace of My Heart 13-Sep-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
253 Pillow Book, The 13-Jun-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1429 Sliding Doors 01-Jan-1998 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
250 Fifth Element, The 09-May-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2
248 Grosse Pointe Blank 11-Apr-1997 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 2
1433 Men of Means 01-Jan-1997 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
246 Chasing Amy 01-Jan-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1436 Mr. Jones 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1439 Jason's Lyric 01-Jan-1994 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
243 Jungle2Jungle 07-Mar-1997 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1441 Moonlight and Valentino 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
240 Beavis and Butt-head Do America 20-Dec-1996 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1425 I'll Do Anything 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
281 River Wild, The 01-Jan-1994 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1019 Die xue shuang xiong (Killer, The) 01-Jan-1989 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
288 Scream 20-Dec-1996 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2
1412 Land Before Time III: The Time of the Great Giving (199 01-Jan-1995 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1415 Next Karate Kid, The 01-Jan-1994 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
304 Fly Away Home 13-Sep-1996 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
295 Breakdown 02-May-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
293 Donnie Brasco 28-Feb-1997 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
306 Mrs. Brown (Her Majesty, Mrs. Brown) 01-Jan-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
291 Absolute Power 14-Feb-1997 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 2
1409 Swan Princess, The 01-Jan-1994 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
1406 When Night Is Falling 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1403 Caro Diario (Dear Diary) 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2
289 Evita 25-Dec-1996 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 2
300 Air Force One 01-Jan-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
1400 Picture Bride 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1411 Barbarella 01-Jan-1968 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2
1416 No Escape 01-Jan-1994 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2
1393 Stag 01-Jan-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2
314 3 Ninjas: High Noon At Mega Mountain 01-Jan-1997 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
315 Apt Pupil 23-Oct-1998 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2
284 Tin Cup 16-Aug-1996 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 2
283 Emma 02-Aug-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2
1286 Shall We Dance? 01-Jan-1937 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 3
1444 That Darn Cat! 01-Jan-1965 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 3
1239 Cutthroat Island 01-Jan-1995 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3
1133 Escape to Witch Mountain 01-Jan-1975 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3
1669 MURDER and murder 20-Jun-1997 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 3
1129 Chungking Express 16-Feb-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 3
1025 Fire Down Below 01-Jan-1997 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 3
1526 Witness 01-Jan-1985 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 3
1100 What Happened Was... 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
1089 Speed 2: Cruise Control 13-Jun-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 3
1069 Amateur 01-Jan-1994 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 3
1458 Damsel in Distress, A 01-Jan-1937 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 3
1462 Thieves (Voleurs, Les) 25-Dec-1996 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 3
1647 Hana-bi 20-Mar-1998 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 3
1586 Lashou shentan 01-Jan-1992 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 3
1139 Hackers 01-Jan-1995 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 3
1212 Flesh and Bone 01-Jan-1993 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 3
1314 Surviving the Game 01-Jan-1994 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
1104 C'est arrivé près de chez vous 01-Jan-1992 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 3
1105 Firestorm 09-Jan-1998 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
1485 Colonel Chabert, Le 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 3
1596 Nemesis 2: Nebula 01-Jan-1995 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
1483 Man in the Iron Mask, The 17-Mar-1998 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 3
1480 Herbie Rides Again 01-Jan-1974 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3
1478 Dead Presidents 01-Jan-1995 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 3
1491 Tough and Deadly 01-Jan-1995 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 3
1604 He Walked by Night 01-Jan-1948 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 3
1213 Guilty as Sin 01-Jan-1993 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 3
1610 Truth or Consequences, N.M. 02-May-1997 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 3
1559 Hostile Intentions 01-Jan-1994 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 3
1556 Condition Red 01-Jan-1995 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 3
1203 Top Hat 01-Jan-1935 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 3
1204 To Be or Not to Be 01-Jan-1942 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 3
1336 Kazaam 17-Jul-1996 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 3
1208 Kiss of Death 01-Jan-1995 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 3
1037 Grease 2 01-Jan-1982 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 3
1188 Young Guns II 01-Jan-1990 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 3
1424 I Like It Like That 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
1313 Palmetto 20-Feb-1998 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 3
1115 Twelfth Night 25-Oct-1996 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
1608 Buddy 06-Jun-1997 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3
1 Toy Story 01-Jan-1995 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3
1013 Anaconda 11-Apr-1997 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
329 Desperate Measures 30-Jan-1998 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 3
327 Cop Land 01-Jan-1997 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 3
326 G.I. Jane 01-Jan-1997 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 3
319 Everyone Says I Love You 06-Dec-1996 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 3
313 Titanic 01-Jan-1997 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 3
311 Wings of the Dove, The 01-Jan-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 3
308 FairyTale: A True Story 01-Jan-1997 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 3
299 Hoodlum 22-Aug-1997 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 3
298 Face/Off 27-Jun-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
332 Kiss the Girls 01-Jan-1997 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 3
286 English Patient, The 15-Nov-1996 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 3
270 Gattaca 01-Jan-1997 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 3
254 Batman & Robin 20-Jun-1997 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3
247 Turbo: A Power Rangers Movie 28-Mar-1997 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3
244 Smilla's Sense of Snow 14-Mar-1997 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 3
241 Last of the Mohicans, The 01-Jan-1992 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 3
239 Sneakers 01-Jan-1992 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 3
232 Young Guns 01-Jan-1988 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 3
230 Star Trek IV: The Voyage Home 01-Jan-1986 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
229 Star Trek III: The Search for Spock 01-Jan-1984 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
273 Heat 01-Jan-1995 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 3
334 U Turn 01-Jan-1997 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 3
337 House of Yes, The 01-Jan-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 3
343 Alien: Resurrection 01-Jan-1997 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 3
432 Fantasia 01-Jan-1940 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
422 Aladdin and the King of Thieves 01-Jan-1996 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3
420 Alice in Wonderland 01-Jan-1951 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
419 Mary Poppins 01-Jan-1964 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 3
418 Cinderella 01-Jan-1950 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
415 Apple Dumpling Gang, The 01-Jan-1975 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 3
408 Close Shave, A 28-Apr-1996 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 3
405 Mission: Impossible 22-May-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3
402 Ghost 01-Jan-1990 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 3
399 Three Musketeers, The 01-Jan-1993 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3
396 Serial Mom 01-Jan-1994 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 3
394 Radioland Murders 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 3
1016 Con Air 06-Jun-1997 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
380 Star Trek: Generations 01-Jan-1994 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
373 Judge Dredd 01-Jan-1995 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
362 Blues Brothers 2000 06-Feb-1998 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 3
356 Client, The 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 3
355 Sphere 13-Feb-1998 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
353 Deep Rising 30-Jan-1998 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 3
350 Fallen 16-Jan-1998 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 3
348 Desperate Measures 30-Jan-1998 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 3
228 Star Trek: The Wrath of Khan 01-Jan-1982 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
227 Star Trek VI: The Undiscovered Country 01-Jan-1991 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
222 Star Trek: First Contact 22-Nov-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
214 Pink Floyd - The Wall 01-Jan-1982 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 3
80 Hot Shots! Part Deux 01-Jan-1993 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 3
78 Free Willy 01-Jan-1993 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3
74 Faster Pussycat! Kill! Kill! 01-Jan-1965 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 3
73 Maverick 01-Jan-1994 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 3
72 Mask, The 01-Jan-1994 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 3
71 Lion King, The 01-Jan-1994 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
69 Forrest Gump 01-Jan-1994 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 3
68 Crow, The 01-Jan-1994 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 3
62 Stargate 01-Jan-1994 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
54 Outbreak 01-Jan-1995 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 3
39 Strange Days 01-Jan-1995 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 3
35 Free Willy 2: The Adventure Home 01-Jan-1995 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3
33 Desperado 01-Jan-1995 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 3
31 Crimson Tide 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 3
28 Apollo 13 01-Jan-1995 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 3
24 Rumble in the Bronx 23-Feb-1996 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3
22 Braveheart 16-Feb-1996 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 3
8 Babe 01-Jan-1995 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 3
5 Copycat 01-Jan-1995 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 3
4 Get Shorty 01-Jan-1995 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 3
2 GoldenEye 01-Jan-1995 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
82 Jurassic Park 01-Jan-1993 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
435 Butch Cassidy and the Sundance Kid 01-Jan-1969 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 3
90 So I Married an Axe Murderer 01-Jan-1993 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 3
92 True Romance 01-Jan-1993 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 3
209 This Is Spinal Tap 01-Jan-1984 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 3
207 Cyrano de Bergerac 01-Jan-1990 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 3
195 Terminator, The 01-Jan-1984 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
188 Full Metal Jacket 01-Jan-1987 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 3
187 Godfather: Part II, The 01-Jan-1974 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 3
186 Blues Brothers, The 01-Jan-1980 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 3
185 Psycho 01-Jan-1960 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 3
170 Cinema Paradiso 01-Jan-1988 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
151 Willy Wonka and the Chocolate Factory 01-Jan-1971 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3
145 Lawnmower Man, The 01-Jan-1992 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
142 Bedknobs and Broomsticks 01-Jan-1971 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
133 Gone with the Wind 01-Jan-1939 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 3
127 Godfather, The 01-Jan-1972 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 3
121 Independence Day (ID4) 03-Jul-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 3
118 Twister 10-May-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
117 Rock, The 07-Jun-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
103 All Dogs Go to Heaven 2 29-Mar-1996 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
100 Fargo 14-Feb-1997 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 3
99 Snow White and the Seven Dwarfs 01-Jan-1937 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
97 Dances with Wolves 01-Jan-1990 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 3
96 Terminator 2: Judgment Day 01-Jan-1991 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
91 Nightmare Before Christmas, The 01-Jan-1993 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 3
449 Star Trek: The Motion Picture 01-Jan-1979 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
670 Body Snatchers 01-Jan-1993 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 3
451 Grease 01-Jan-1978 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 3
809 Rising Sun 01-Jan-1993 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 3
806 Menace II Society 01-Jan-1993 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 3
803 Heaven & Earth 01-Jan-1993 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 3
778 Don Juan DeMarco 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
775 Something to Talk About 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
771 Johnny Mnemonic 01-Jan-1995 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
751 Tomorrow Never Dies 01-Jan-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 3
450 Star Trek V: The Final Frontier 01-Jan-1989 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
823 Mulholland Falls 26-Apr-1996 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 3
731 Corrina, Corrina 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
691 Dark City 09-Jan-1998 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 3
682 I Know What You Did Last Summer 17-Oct-1997 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 3
659 Arsenic and Old Lace 01-Jan-1944 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 3
656 M 01-Jan-1931 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 3
655 Stand by Me 01-Jan-1986 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 3
654 Chinatown 01-Jan-1974 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 3
653 Touch of Evil 01-Jan-1958 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 3
651 Glory 01-Jan-1989 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 3
692 American President, The 01-Jan-1995 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
825 Arrival, The 31-May-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
827 Daylight 06-Dec-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
830 Power 98 17-May-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 3
1003 That Darn Cat! 14-Feb-1997 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 3
989 Cats Don't Dance 26-Mar-1997 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
982 Maximum Risk 13-Sep-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
976 Solo 23-Aug-1996 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
951 Indian in the Cupboard, The 01-Jan-1995 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3
944 Renaissance Man 01-Jan-1994 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 3
936 Brassed Off 13-Jun-1997 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
930 Chain Reaction 31-Jul-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
917 Mercury Rising 27-Mar-1998 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 3
916 Lost in Space 27-Mar-1998 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 3
897 Time Tracers 01-Jan-1995 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3
892 Flubber 01-Jan-1997 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 3
879 Peacemaker, The 01-Jan-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 3
878 That Darn Cat! 14-Feb-1997 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 3
862 Jingle All the Way 22-Nov-1996 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3
842 Pollyanna 01-Jan-1960 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 3
840 Last Man Standing 20-Sep-1996 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 3
835 Gay Divorcee, The 01-Jan-1934 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 3
832 Bogus 06-Sep-1996 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 3
649 Once Upon a Time in America 01-Jan-1984 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 3
642 Grifters, The 01-Jan-1990 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 3
748 Saint, The 14-Mar-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 3
568 Speed 01-Jan-1994 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 3
573 Body Snatchers 01-Jan-1993 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 3
490 To Catch a Thief 01-Jan-1955 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 3
566 Clear and Present Danger 01-Jan-1994 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
501 Dumbo 01-Jan-1941 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
510 Magnificent Seven, The 01-Jan-1954 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 3
512 Wings of Desire 01-Jan-1987 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
574 Boxing Helena 01-Jan-1993 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 3
515 Boot, Das 04-Apr-1997 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 3
517 Manhattan 01-Jan-1979 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 3
526 Ben-Hur 01-Jan-1959 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3
558 Heavenly Creatures 01-Jan-1994 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 3
538 Anastasia 01-Jan-1997 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
549 Rob Roy 01-Jan-1995 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 3
624 Three Caballeros, The 01-Jan-1945 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
562 Quick and the Dead, The 01-Jan-1995 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3
576 Cliffhanger 01-Jan-1993 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3
544 Things to Do in Denver when You're Dead 02-Feb-1996 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 3
483 Casablanca 01-Jan-1942 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 3
588 Beauty and the Beast 01-Jan-1991 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
611 Laura 01-Jan-1944 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 3
596 Hunchback of Notre Dame, The 21-Jun-1996 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
608 Spellbound 01-Jan-1945 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 3
465 Jungle Book, The 01-Jan-1994 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3
472 Dragonheart 31-May-1996 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3
590 Hellraiser: Bloodline 08-Mar-1996 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 3
457 Free Willy 3: The Rescue 08-Aug-1997 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3
489 Notorious 01-Jan-1946 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 3
473 James and the Giant Peach 12-Apr-1996 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3
110 Operation Dumbo Drop 01-Jan-1995 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 4
423 E.T. the Extra-Terrestrial 01-Jan-1982 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 1 0 0 0 4
945 Charade 01-Jan-1963 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 1 0 0 4
29 Batman Forever 01-Jan-1995 0 1 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 4
95 Aladdin 01-Jan-1992 0 0 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 4
831 Escape from L.A. 09-Aug-1996 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 4
358 Spawn 01-Aug-1997 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 4
55 Professional, The 01-Jan-1994 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 4
1219 Goofy Movie, A 01-Jan-1995 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 4
498 African Queen, The 01-Jan-1951 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 4
403 Batman 01-Jan-1989 0 1 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 4
1293 Star Kid 16-Jan-1998 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 4
411 Nutty Professor, The 28-Jun-1996 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 1 0 0 0 4
902 Big Lebowski, The 26-Dec-1997 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 0 4
542 Pocahontas 01-Jan-1995 0 0 0 1 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 4
51 Legends of the Fall 01-Jan-1994 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 4
1615 Warriors of Virtue 02-May-1997 0 1 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 4
914 Wild Things 14-Mar-1998 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 1 0 0 4
398 Super Mario Bros. 01-Jan-1993 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4
631 Crying Game, The 01-Jan-1992 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 4
132 Wizard of Oz, The 01-Jan-1939 0 0 1 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 4
129 Bound 04-Oct-1996 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 4
720 First Knight 01-Jan-1995 0 1 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 4
328 Conspiracy Theory 08-Aug-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 4
665 Alien 3 01-Jan-1992 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 4
231 Batman Returns 01-Jan-1992 0 1 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 4
235 Mars Attacks! 13-Dec-1996 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 4
1138 Best Men 01-Sep-1997 0 1 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 4
312 Midnight in the Garden of Good and Evil 01-Jan-1997 0 0 0 0 0 1 1 0 1 0 0 0 0 1 0 0 0 0 0 4
245 Devil's Own, The 26-Mar-1997 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 4
252 Lost World: Jurassic Park, The 23-May-1997 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 4
257 Men in Black 04-Jul-1997 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 4
260 Event Horizon 01-Jan-1997 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 4
307 Devil's Advocate, The 01-Jan-1997 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 1 0 0 4
271 Starship Troopers 01-Jan-1997 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 4
302 L.A. Confidential 01-Jan-1997 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 4
636 Escape from New York 01-Jan-1981 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 4
1091 Pete's Dragon 01-Jan-1977 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 4
201 Evil Dead II 01-Jan-1987 0 1 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 4
206 Akira 01-Jan-1988 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 4
385 True Lies 01-Jan-1994 0 1 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 4
769 Congo 01-Jan-1995 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 4
770 Devil in a Blue Dress 01-Jan-1995 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 4
183 Alien 01-Jan-1979 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 4
135 2001: A Space Odyssey 01-Jan-1968 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 0 4
176 Aliens 01-Jan-1986 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 4
173 Princess Bride, The 01-Jan-1987 0 1 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 4
164 Abyss, The 01-Jan-1989 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 4
1110 Tank Girl 01-Jan-1995 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 4
141 20,000 Leagues Under the Sea 01-Jan-1954 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 4
802 Hard Target 01-Jan-1993 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 4
820 Space Jam 15-Nov-1996 0 0 1 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 5
993 Hercules 27-Jun-1997 0 0 1 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 5
17 From Dusk Till Dawn 05-Feb-1996 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 0 1 0 0 5
21 Muppet Treasure Island 16-Feb-1996 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 5
755 Jumanji 01-Jan-1995 0 1 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 5
50 Star Wars 01-Jan-1977 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 5
181 Return of the Jedi 14-Mar-1997 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 5
184 Army of Darkness 01-Jan-1993 0 1 1 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 5
855 Diva 01-Jan-1981 0 1 0 0 0 0 0 0 1 0 0 0 0 1 1 0 1 0 0 5
101 Heavy Metal 08-Mar-1981 0 1 1 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 5
1076 Pagemaster, The 01-Jan-1994 0 1 1 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5
560 Kid in King Arthur's Court, A 01-Jan-1995 0 0 1 0 1 1 0 0 0 1 0 0 0 0 1 1 0 0 0 6
172 Empire Strikes Back, The 01-Jan-1980 0 1 1 0 0 0 0 0 1 0 0 0 0 0 1 1 0 1 0 6
426 Transformers: The Movie, The 01-Jan-1986 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 6

6. Drop the movie where the genre is unknown - 2.5 marks

In [24]:
#ONE METHOD-FILTERING DATA FRAME BY UNKNOWN!=1
MovieRating_Item_DF = MovieRating_Item_DF[MovieRating_Item_DF['unknown']!=1]

#ALTERNATIVE-BY USING DROP METHOD
MovieRating_Item_DF.drop(MovieRating_Item_DF.loc[MovieRating_Item_DF['unknown']==1].index, inplace=True)
  
#Checking Count For Test

               
MovieRating_Item_DF.sum(numeric_only = True).reset_index(name ='Number Of Movies Per Genre').sort_values(by='Number Of Movies Per Genre').style.apply(lambda x: ['background: yellow' if x.name in [0]   else '' for i in x], axis=1)
Out[24]:
index Number Of Movies Per Genre
0 unknown 0
9 Fantasy 22
10 Film-Noir 24
18 Western 27
3 Animation 42
7 Documentary 50
12 Musical 56
13 Mystery 61
17 War 71
11 Horror 92
15 Sci-Fi 101
6 Crime 109
4 Childrens 122
2 Adventure 135
14 Romance 247
1 Action 251
16 Thriller 251
5 Comedy 505
8 Drama 725

7. Univariate plots of columns: 'rating', 'Age', 'release year', 'Gender' and 'Occupation' - 10 marks

In [25]:
# HINT: use distplot for age and countplot for gender,ratings,occupation, release year.
# HINT: Please refer to the below snippet to understand how to get to release year from release date. You can use str.split()
# as depicted below.
In [26]:
a = 'My*cat*is*brown'
print(a.split('*')[3])

#similarly, the release year needs to be taken out from release date

#also you can simply slice existing string to get the desired data, if we want to take out the colour of the cat

print(a[10:])
print(a[-5:])
brown
brown
brown
In [27]:
#your answers here
#DISTOLOT FOR AGE
sns.distplot(MovieRating_User_DF['age'],rug=True, norm_hist=False)
plt.show()

#COUNRPLOT FOR RATING
sns.countplot(data=MovieRatings_Data_DF, x="rating")
plt.show()

#COUNRPLOT FOR GENDER
sns.set(rc={'figure.figsize':(35.0,35.0)},font_scale=3)
sns.countplot( data=MovieRating_User_DF, x="gender")
plt.show()
sns.countplot( hue="age",data=MovieRating_User_DF, x="gender")
plt.show()

#occupationChart=sns.countplot(MovieRating_User_DF['occupation'])
occupationChart = sns.countplot(data=MovieRating_User_DF,x='occupation')
occupationChart.set_xticklabels(occupationChart.get_xticklabels(), rotation=45, horizontalalignment='right')
plt.show()
occupationChart = sns.countplot(data=MovieRating_User_DF,x='occupation',hue='age')
occupationChart.set_xticklabels(occupationChart.get_xticklabels(), rotation=45, horizontalalignment='right')
plt.show()

#Release Year
MovieRating_Year_DF=MovieRating_Item_DF.copy()
MovieRating_Year_DF.loc[:,'release_year'] = MovieRating_Year_DF['release date'].str.split('-',expand=True)[2]

yearChart = sns.countplot(
    data=MovieRating_Year_DF,
    x='release_year',
    palette='Set1'
)
yearChart.set_yticklabels(yearChart.get_yticklabels(), rotation=65)
plt.xticks(rotation=70)
plt.tight_layout()

8. Visualize how popularity of genres has changed over the years - 10 marks

Note that you need to use the number of releases in a year as a parameter of popularity of a genre

Hint

1: you need to reach to a data frame where the release year is the index and the genre is the column names (one cell shows the number of release in a year in one genre) or vice versa. Once that is achieved, you can either use multiple bivariate plots or can use the heatmap to visualise all the changes over the years in one go.

Hint 2: Use groupby on the relevant column and use sum() on the same to find out the nuumber of releases in a year/genre.

In [28]:
#Your answer here
#SETTING INDEX AS RELEASE_YEAR
if 'release_year' in MovieRating_Year_DF.columns:
  MovieRating_Year_DF.set_index('release_year',inplace=True, drop=True)

#SUM AS PER RELEASE YEAR
YearMovies= MovieRating_Year_DF.groupby(['release_year']).sum()

#ALSO ADDING NUMBER OF MOVIER PER YEAR TREND TO analysis
YearMovies['number_of_movies_year']= YearMovies.iloc[:, 1:].sum(axis=1)

YearMovies_all_transposed = YearMovies.transpose()
sns.heatmap(YearMovies_all_transposed,vmin=0, vmax=250,cbar_kws={"orientation": "horizontal"},cmap="YlGnBu")
plt.show()

#DIFFERENT VIEW
sns.heatmap(YearMovies,vmin=0, vmax=250,cbar_kws={"orientation": "horizontal"},cmap="YlGnBu")
plt.show()
YearMovies['index'] = YearMovies.index

# CAN USE SCATTER PLOTS FOR SEE TREND BY YEAR-NOT BY GENRE
sns.scatterplot(x="number_of_movies_year", y="index", data=YearMovies,
                   legend='full' )
plt.show()

9. Find the top 25 movies according to average ratings such that each movie has number of ratings more than 100 - 10 marks

Hint :

  1. First find the movies that have more than 100 ratings(use merge, groupby and count). Extract the movie id in a list.
  2. Find the average rating of all the movies and sort them in the descending order. You will have to use the .merge() function to reach to a data set through which you can get the ids and the average rating.
  3. Use isin(list obtained from 1) to filter out the movies which have more than 100 ratings.

Note: This question will need you to research about groupby and apply your findings. You can find more on groupby on https://realpython.com/pandas-groupby/.

In [29]:
#your answer here
#Merge Two Data Frames
movieRatingsFrame_DF=MovieRating_Item_DF.merge(MovieRatings_Data_DF, on='movie id')

#Count Of Ratings
#Aggregate by Rating
movie_stats = movieRatingsFrame_DF.groupby('movie id').agg({'rating': [np.size, np.mean]})

#Get Ratings >100
movieList=movie_stats[movie_stats['rating']['size'] > 100]

#Find Average Rating
ratings_mean_count = pd.DataFrame(movieRatingsFrame_DF.groupby('movie id')['rating'].mean())

#SORT-Values
ratings_mean_count=ratings_mean_count.sort_values('rating',ascending=False)

#TOP25 Movies
top25Movies=ratings_mean_count[ratings_mean_count.index.isin(movieList.index)].sort_values(['rating'], ascending=False)[:25]

top25Movies.style.background_gradient(cmap=cm)
Out[29]:
rating
movie id
408 4.491071
318 4.466443
169 4.466102
483 4.456790
64 4.445230
603 4.387560
12 4.385768
50 4.358491
178 4.344000
134 4.292929
427 4.292237
357 4.291667
98 4.289744
480 4.284916
127 4.283293
285 4.265432
272 4.262626
657 4.259542
474 4.252577
174 4.252381
479 4.251397
313 4.245714
511 4.231214
484 4.210145
172 4.204360

10. See gender distribution across different genres check for the validity of the below statements - 10 marks

  • Men watch more drama than women
  • Women watch more Sci-Fi than men
  • Men watch more Romance than women
  1. There is no need to conduct statistical tests around this. Just compare the percentages and comment on the validity of the above statements.

  2. you might want ot use the .sum(), .div() function here.

  3. Use number of ratings to validate the numbers. For example, if out of 4000 ratings received by women, 3000 are for drama, we will assume that 75% of the women watch drama.
In [30]:
#Analysis for Genre-Drama
#Get Drama Genre Movies
rating_user_movie_df_All = MovieRatings_Data_DF.merge(MovieRating_Item_DF,on='movie id')
movie_rating_byGender_All = rating_user_movie_df_All.merge(MovieRating_User_DF, on='user id')

#With Size
movie_rating_Gender_Sum_All= movie_rating_byGender_All.groupby(['gender']).agg({'rating': np.size})

#With Sum
movie_rating_Gender_Sum_All_SUM= movie_rating_byGender_All.groupby(['gender']).agg({'rating': np.sum})

DramMovieFrame=MovieRating_Item_DF[MovieRating_Item_DF['Drama'] > 0]['Drama']
DramMovieFrame
rating_user_movie_df = MovieRatings_Data_DF.merge(DramMovieFrame,on='movie id')
movie_rating_byGender = rating_user_movie_df.merge(MovieRating_User_DF, on='user id')
#Size
movie_rating_Gender_Sum = movie_rating_byGender.groupby(['gender']).agg({'rating': np.size})
#With Sum
movie_rating_Gender_Sum_BySum= movie_rating_byGender.groupby(['gender']).agg({'rating': np.sum})

movie_watch_facts = movie_rating_Gender_Sum_BySum.div(movie_rating_Gender_Sum_All_SUM['rating']/100,axis=0)
movie_watch_facts.rename(columns={"rating": "Watch Pecentage(%) for Drama Genre"}).style.background_gradient(cmap=cm)

movie_rating_Gender_Sum = movie_rating_byGender.groupby(['gender']).agg({'rating': np.size})
movie_watch_facts_Size = movie_rating_Gender_Sum.div(movie_rating_Gender_Sum_All['rating']/100,axis=0)


print(movie_watch_facts)


movie_watch_facts_Size.rename(columns={"rating": "Watch Pecentage(%) for Drama Genre By Size"}).style.background_gradient(cmap=cm)
           rating
gender           
F       44.352763
M       40.751736
Out[30]:
Watch Pecentage(%) for Drama Genre By Size
gender
F 42.769446
M 38.904003
In [31]:
#Analysis for Genre-Sci-Fi
#Get Sci-Fi Genre Movies
SciFiMovieFrame=MovieRating_Item_DF[MovieRating_Item_DF['Sci-Fi'] > 0]['Sci-Fi']
SciFiMovieFrame
rating_user_movie_df = MovieRatings_Data_DF.merge(SciFiMovieFrame, on='movie id')
movie_rating_byGender = rating_user_movie_df.merge(MovieRating_User_DF, on='user id')
#Ratings Count
movie_rating_Gender_Sum = movie_rating_byGender.groupby(['gender']).agg({'rating': np.sum})

movie_rating_Gender_Size = movie_rating_byGender.groupby(['gender']).agg({'rating': np.size})


movie_watch_facts =  movie_rating_Gender_Sum.div(movie_rating_Gender_Sum_All_SUM['rating']/100,axis=0)
movie_watch_facts.rename(columns={"rating": "Watch Pecentage(%) for Sci-Fi Genre As per Ratings"}).style.background_gradient(cmap=cm)


movie_watch_facts_size=  movie_rating_Gender_Sum.div(movie_rating_Gender_Sum_All['rating']/100,axis=0)
movie_watch_facts.rename(columns={"rating": "Watch Pecentage(%) for Sci-Fi Genre As per Ratings"}).style.background_gradient(cmap=cm)

print(movie_watch_facts)

movie_watch_facts_size.rename(columns={"rating": "Watch Pecentage(%) for Sci_Fi Genre By Size"}).style.background_gradient(cmap=cm)
           rating
gender           
F       10.117279
M       13.787682
Out[31]:
Watch Pecentage(%) for Sci_Fi Genre By Size
gender
F 35.729272
M 48.661316
In [32]:
#Analysis for Genre-Romance
#Get Romance Genre Movies
RomanceMovieFrame=MovieRating_Item_DF[MovieRating_Item_DF['Romance'] > 0]['Romance']
RomanceMovieFrame
rating_user_movie_df = MovieRatings_Data_DF.merge(RomanceMovieFrame, on='movie id')
movie_rating_byGender = rating_user_movie_df.merge(MovieRating_User_DF, on='user id')
movie_rating_Gender_Sum = movie_rating_byGender.groupby(['gender']).agg({'rating': np.size})

movie_watch_facts =  movie_rating_Gender_Sum.div(movie_rating_Gender_Sum_All_SUM['rating']/100,axis=0)
movie_watch_facts.rename(columns={"rating": "Watch Pecentage(%) for Sci-Fi Genre As per Ratings"}).style.background_gradient(cmap=cm)


movie_watch_facts_size=  movie_rating_Gender_Sum.div(movie_rating_Gender_Sum_All['rating']/100,axis=0)
movie_watch_facts.rename(columns={"rating": "Watch Pecentage(%) for Sci-Fi Genre As per Ratings"}).style.background_gradient(cmap=cm)

print(movie_watch_facts)

movie_watch_facts_size.rename(columns={"rating": "Watch Pecentage(%) for Romance Genre By Size"}).style.background_gradient(cmap=cm)
          rating
gender          
F       6.444870
M       5.190796
Out[32]:
Watch Pecentage(%) for Romance Genre By Size
gender
F 22.760121
M 18.320045

Conclusion:

Men watch more drama than women:

FALSE

Women watch more Sci-Fi than men

FALSE

Men watch more Romance than women

FALSE

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